About

See CV

Education

Oxford Internet Institute, University Of Oxford (2024 - 2025)
MSc Social Data Science
Fully-funded scholarship (OII Shirley Scholars Fund)
Member of the Reasoning with Machines Lab
Thesis: "Extracting Social Determinants of Health from British Red Cross Referrals using Large Language Models" - supervised by Dr. Adam Mahdi
University College London (2020 - 2024)
BSc Politics, Philosophy & Economics w/ Social Data Science
First Class Honours
Dissertation: "Impoverishing Families? Exploring the Impact of Universal Credit on Child Poverty and Lone Parent Households in the UK" (78%)

Experience

British Red Cross, Strategic Insight & Foresight (2023 - 2024)
Data Scientist (Part-time)
I contributed to the development of the Health Inequalities Explorer, and of the humaniverse suite of open-source R packages, which centralises health inequalities data across the UK.
Equipage Solidaire (2022 - 2024)
Volunteer Head of Data & Analytics
L'Equipage Solidaire is a French non-profit that fights food insecurity and overall deprivation among students by delivering food and hygienic supplies to their home, for free. For a year, I led its team of three data scientists.
Elliott School of International Affairs, George Washington University (2022 - 2023)
Research assistant

Research & Open-source

As a strong open-source enthusiast, I make my research, and personal projects as transparent and reproducible as possible. Here is a little selection!

Wildfire Risk and Social Vulnerability

The wildfires R package provides easy access to data on the coupling of wildfire risk (modelled via random forest) & social vulnerability in the UK. Paper under review for publication in the International Journal of Disaster Risk Reduction.

Health Inequalities Explorer

Open access web app to explore location based health inequalities across different UK geographies.

Monitoring of Building Destruction in Gaza

Detecting building damage in Gaza using public Sentinel-1 data with machine learning.

"Balance Ton Rap"

Quantifying gender stereotypes in 8,000 French rap songs using word embedding association tests.

A Peaky Blinders Network Analysis

An introductory network analysis of the Peaky Blinders TV show, using web-scraped transcripts of all 36 episodes.

DEPAHRI

The Digital Exclusion and Physical Access to Healthcare Risk Index indicates the overall difficulty of physically and digitally accessing healthcare services in England, Wales and Scotland. Source code and data available through the DEPAHRI R package

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